Data Scientist & Sociologist | Passionate about solving problems. All my life, I've loved to tinker with data and see how different perspectives can draw out entirely new conclusions. My background as a sociologist has developed my expertise in communicating clearly and creating common ground across diverse fields and communities. With this background in the humanities and social sciences, I've been combining my passion in data, programming, and statistics with my expertise of the social world.
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Data Visualization SpecialistGoloot Sep 2022 - PresentMontreal, Quebec, CanadaMajor Accomplishments:-Build, implement, and maintain machine learning models for forecasting conversions using with python libraries like SKLearn, XGBoost, and Pandas. This used both regression and classification models, as well as implementing a NLP model to create additional features from text data used for forecasting. I also implemented time series forecasting models with FBProphet.-Build and maintain financial tracking system for the entire company using Google BigQuery and Tableau. This system saves 10 hours of work per week of manual labour, reduces errors from manual calculation and also frees up the data team to work on other tasks.-Create and maintain ETL pipeline using Bigquery. This pipeline provides data for all the dashboards in the company, and over the past year has seen a 30% increase in processing speed owing to my optimization efforts.-Develop dashboards to monitor company-wide KPIs and guide growthThe dashboards were used to monitor impressions, clicks, claims, and CTR for our ad performance. They lead to better efforts in testing and development, as they helped prioritize our key user demographics.-Ensure data quality and freshness throughout the pipeline by creating alerts Alerts notified us of any breakdowns in our pipeline and maintained accountability for the data.-Investigate and implement database optimizations, improving data processing speed and lowering overall costs using Google Dataform.This reduced the time to manually trigger updates or refreshes by an hour a week and also lead to a 20% increased performance in dashboard loading time. -Increases development velocity by improving the quality of the data and the amount of cleaning needed to produce useful dashboards and analyses.This sped up the process of developing new dashboards and the trust of the data, as stakeholders received reliable reports at a faster pace. -
Phd ResearcherUniversity Of Toronto Sep 2016 - Apr 2022Create, organize, and statistically analyze datasets using Stata, Tableau, and Python (Pandas) -
Course InstructorUniversity Of Toronto Aug 2021 - Jan 2022Toronto, Ontario, CanadaIntroduction to the Sociology of Genocides -
Phd StudentUniversity Of Toronto Sep 2017 - Jan 2022Toronto, Ontario, CanadaMain responsibilities included:-Data collection, processing, and creating models using statistical and machine learning techniques. -Developing and delivering presentations to expert audiences-Researching and synthesizing the current literature to create new theories and then testing themExpertise in Political Sociology and Social Theory
Patrick Leduc Education Details
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Data Science -
Sociology -
Sociology -
Sociology
Frequently Asked Questions about Patrick Leduc
What company does Patrick Leduc work for?
Patrick Leduc works for Goloot
What is Patrick Leduc's role at the current company?
Patrick Leduc's current role is Data Analyst.
What schools did Patrick Leduc attend?
Patrick Leduc attended Concordia University, University Of Toronto, University Of Toronto, Mcgill University.
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Patrick L.
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1newton.co
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Patrick Leduc
Greater Montreal Metropolitan Area
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